AI Solutions Architect (Pre-Sales) – Amsterdam | Visa + Salary Insights

📍 Location: nl

🏷 Type: Not specified

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Job Overview

This role is a Senior-Level (5+ years) opportunity for an experienced AI Solutions Architect within enterprise pre-sales, focusing on strategic accounts across the Benelux region. The position sits at the intersection of data engineering, cloud architecture, and GenAI solution design, supporting large-scale enterprises in modernizing their data ecosystems. You will act as a trusted technical advisor to executive stakeholders, translating complex business problems into scalable architecture on a leading data intelligence platform. Ideal candidates bring strong customer-facing experience, deep technical credibility, and the ability to influence both engineering teams and C-level decision-makers.

🌍 Work Eligibility & Location

This role is designed for professionals who can operate in a Hybrid enterprise environment while engaging with multinational clients. While visa sponsorship is not explicitly guaranteed, companies at this level often support relocation for highly specialized AI and cloud talent.

💰 Salary Intelligence

This is a high-value enterprise pre-sales architecture role. Compensation is typically competitive, combining strong base pay with performance-based incentives and equity. Compared to EU cloud and AI solution roles, this sits in the upper tier due to its strategic account ownership and executive-facing responsibilities. The €110K–€180K range reflects both technical depth and commercial influence expectations.

📊 Role Breakdown

This position requires deep expertise in AI platforms, data architecture, and enterprise cloud ecosystems. You will lead technical strategy for strategic accounts, designing scalable solutions across multi-system environments involving data engineering pipelines, analytics platforms, and GenAI applications. A major part of the role involves engaging with VP and C-level stakeholders to align technical capabilities with business transformation goals.

You will also be responsible for conducting deep technical discovery sessions, identifying customer pain points, and translating them into actionable architecture using tools such as Databricks, Apache Spark, Python, SQL, AWS, Azure, or GCP. Approximately 40–50% of your work is customer-facing, while the remainder focuses on solution design, architecture refinement, and internal collaboration.

Another critical dimension is building reusable patterns from successful implementations, enabling scale across multiple enterprise accounts. You are expected to anticipate objections, guide technical decision-making, and influence adoption of modern data intelligence frameworks. Strong familiarity with GenAI tooling, MLOps pipelines, and cloud-native architectures is essential for success.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly selective role requiring both deep technical expertise and strong commercial communication skills. The hiring bar is elevated due to its strategic account ownership and executive-level engagement. Candidates are expected to demonstrate not just technical design ability, but also influence, negotiation skills, and the ability to operate in ambiguous enterprise environments.

🚀 Career Impact

This role significantly accelerates long-term career growth into principal-level and leadership positions. Exposure to enterprise-scale AI deployments, executive advisory responsibilities, and modern data ecosystems creates strong upward mobility into senior architecture or AI leadership roles globally.

📋 Key Responsibilities

You will lead technical pre-sales engagements across strategic accounts, driving solution design and architecture for enterprise AI and data platforms. Key responsibilities include conducting deep technical discovery, designing scalable systems using cloud-native infrastructure and AI frameworks, and aligning solutions with business objectives. You will collaborate with engineering teams to implement Databricks-based architectures, Spark pipelines, and GenAI solutions.

Additional responsibilities include advising executive stakeholders, creating reusable architectural patterns, and improving adoption of platform capabilities across customer ecosystems. You will also mentor junior solution architects, ensuring consistent technical excellence while scaling customer impact across multiple accounts.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role signals high urgency due to strategic account ownership and enterprise transformation priorities. Competition is expected to be very high, particularly from candidates with cloud consulting and AI platform backgrounds. Early application improves visibility, as hiring managers prioritize strong technical profiles with proven customer impact.

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✅ Job Source & Verification

This listing is sourced directly from an official enterprise careers page, ensuring high credibility and accurate role specification. Information reflects the latest available posting and is considered recently updated (2026 hiring cycle), aligned with current AI and cloud architecture hiring trends.